Image Recommendation for Wikipedia Articles

dc.contributor.author	Onyshchak, Oleh
dc.date.accessioned	2020-01-29T15:03:32Z
dc.date.available	2020-01-29T15:03:32Z
dc.date.issued	2020
dc.identifier.citation	Onyshchak, Oleh. Image Recommendation for Wikipedia Articles : Master Thesis : manuscript rights / Oleh Onyshchak ; Supervisor: Miriam Redi ; Ukrainian Catholic University, Department of Computer Sciences. – Lviv : [s.n.], 2020. – 39 p. : ill.	uk
dc.identifier.uri	http://er.ucu.edu.ua/handle/1/1920
dc.language.iso	en	uk
dc.subject	Image Recommendation	uk
dc.subject	Unimodal Representation	uk
dc.subject	Intermediate Representation	uk
dc.title	Image Recommendation for Wikipedia Articles	uk
dc.type	Preprint	uk
dc.status	Публікується вперше	uk
dc.description.abstracten	Multimodal learning, which is simultaneous learning from different data sources such as audio, text, images; is a rapidly emerging ﬁeld of Machine Learning. It is also considered to be learning on the next level of abstraction, which will allow us to tackle more complicated problems such as creating cartoons from a plot or speech recognition based on lips movement. In this paper, we will introduce a basic model to recommend the most relevant images for a Wikipedia article based on state-of-the-art multimodal techniques. We will also introduce the Wikipedia multimodal dataset, containing more than 36,000 high-quality articles.	uk